Note from the ModelDB Administrator: the below web page was derived from an edited copy taken on June 12th, 2012 of

Half-Center Oscillator model database (HCO-db) The target of this project is to understand how intrinsic membrane and synaptic parameters affect the electrical activity of a half-center oscillator model (HCO) and how different parameter regimes influence stability and modulatability of the HCO model's output. A half-center oscillator (HCO) is a common circuit building block of central pattern generator (CPG) networks that produce rhytmic motor patterns in animals. Hill et al.'s HCO simple conductance-based model replicates the electrical activity of the oscillator interneurons of the leech heartbeat CPG under a variety of experimental conditions. This model consists of two reciprocally inhibitory interneurons that make reciprocal spike-mediated and graded synapses across the ganglionic midline. We systematically explored the parameter space of about 10.4 million simulated HCO instances and corresponding isolated neuron model simulations obtained by varying a set of selected parameters (maximal conductance of intrinsic and synaptic currents) in all combinations using a brute-force approach. We classified these HCO instances by their activity characteristics into identifiable groups. We built an efficient relational database (HCO-db) with the resulting instances characteristics. By efficiently querying the database we can answer to our questions regarding the biological implications of these HCO models. Contents: HCO model files (implemented in Genesis 2.3) Description of parameter space and simulation files Group classification algorithm The HCO-db database (in MySQL) References: 1. Doloc-Mihu A, Calabrese RL (2011). A database of computational models of a half-center oscillator for analyzing how neuronal parameters influence network activity. J Biol Phys, Springer, 37(3): 263-283 [PubMed]. 2. Hill AA, Lu J, Masino MA, Olsen OH, Calabrese RL (2001) A model of a segmental oscillator in the leech heartbeat neuronal network. J Comput Neurosci 10:281-302 [PubMed] Last updated June 8, 2012. Please send comments to adolocm at